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YOLOv10 to its genesis: a decadal and comprehensive review of the you only look once (YOLO) series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
Yolov10 to its genesis: A decadal and comprehensive review of the you only look once series
This review systematically examines the progression of the You Only Look Once (YOLO)
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
object detection algorithms from YOLOv1 to the recently unveiled YOLOv10. Employing a …
An efficient pest detection framework with a medium-scale benchmark to increase the agricultural productivity
Insect pests and crop diseases are considered the major problems for agricultural
production, due to the severity and extent of their occurrence causing significant crop losses …
production, due to the severity and extent of their occurrence causing significant crop losses …
AI-enabled crop management framework for pest detection using visual sensor data
Our research focuses on addressing the challenge of crop diseases and pest infestations in
agriculture by utilizing UAV technology for improved crop monitoring through unmanned …
agriculture by utilizing UAV technology for improved crop monitoring through unmanned …
Application of artificial intelligence and machine learning in agriculture
Artificial intelligence (AI) is the branch of science that deals with the development of
machines to mimic human intelligence. Machine learning (ML) is a subdomain of AI where …
machines to mimic human intelligence. Machine learning (ML) is a subdomain of AI where …
[BOK][B] Translating Physiological Tools to Augment Crop Breeding
To ensure food security for the ever-growing population, agricultural production needs to be
increased by 50% by 2050 with the dwindling natural resources. Recently, crop yields are …
increased by 50% by 2050 with the dwindling natural resources. Recently, crop yields are …
[HTML][HTML] Endemic Yucatan Peninsula Plants with Pesticidal Potential: Herbarium-Based Literature Review
N Alonso-Hernández, C Granados-Echegoyen… - Plants, 2024 - mdpi.com
Agricultural pests present a significant challenge to humanity, often managed through
synthetic chemicals that, when misused, can cause irreversible harm to both the …
synthetic chemicals that, when misused, can cause irreversible harm to both the …
Potato Beetle Detection with Real-Time and Deep Learning
A Karakan - Processes, 2024 - search.proquest.com
In this study, deep learning methods were used to detect potato beetles (Leptinotarsa
decemlineata) on potato plants. High-resolution images were taken of fields with the help of …
decemlineata) on potato plants. High-resolution images were taken of fields with the help of …
Pest detection system using machine learning techniques
PB Prithvi, F Zahin, SS Anny - 2022 - dspace.bracu.ac.bd
Countries like Bangladesh yield a significant portion of their economy from their agricultural
sector. Agricultural pests, on the other hand, have a significant impact on both agricultural …
sector. Agricultural pests, on the other hand, have a significant impact on both agricultural …
Nutrition Monitoring based on Food Image Classification Using Transfer Learning
A Gupta, A Das, MP Karnik… - 2024 4th Asian …, 2024 - ieeexplore.ieee.org
Image classification, which teaches computers to understand and categorize visual input, is
a crucial challenge in computer vision technology. Applications for this job are numerous …
a crucial challenge in computer vision technology. Applications for this job are numerous …